872 computational-physics "https:" "https:" "https:" "https:" "Ulster University" positions in Sweden
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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) Application Deadline 19 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Join us at the Hybrid Quantum Systems Laboratory to couple atoms to photonic integrated circuits. If you are interested in advancing quantum metrology, simulation and computing, this is for you
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of physical chemistry and materials science, with a focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies
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We are looking for a Doctoral student to become part of our team at the Division of Nano- and Biophysics at the Department of Physics. Join our innovative team and contribute to exciting research in
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university hospital. Within the Division of Applied Mathematics and Statistics , research spans computational mathematics, optimisation, biomathematics, statistics, and data science, with sustained links
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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Electrical Engineering, Engineering Physics, Computer Science, Applied Mathematics or closely related fields